PhD program in Applied and Computational Mathematics
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If you are applying through TIFR GS exam for Mathematics, Physics, Computer Science & Learning, Information and Data Science see here

https://www.tifr.res.in/~academics/gs_admissions.php

for information on how to take this test. In your application, tick the box to be considered for the ACM PhD Program.
 

All applicants, irrespective of the entrance examination, must fill an application form; the application portal will open in early 2027.

Eligible candidates can apply to the ICTS graduate program by completing the ONLINE APPLICATION FORM

To apply, candidates will need to upload the scorecard from the admissions test (JEST/ GATE/ UGC-CSIR). This is not required for the TIFR test. Additionally, all applicants must upload electronic copies of their transcripts, CV, a statement of purpose, and contact details of two referees. 

The deadline for application and referee recommendation : To be announced.

The admission is focused on certain research areas that have been listed below. Based on their interest among the listed subject areas, every applicant must select one of the faculty members as their research mentor at the time of filling the application form.

  Faculty member Research areas
1 Praveen Chandrashekar Numerical methods for PDE, Finite volume and finite element methods, Computational Fluid Dynamics
2 Jim Thomas Geophysical fluid dynamics, Dispersive wave dynamics, Fluid turbulence, Computational fluid dynamics, Ocean modeling, Data-driven methods, Machine learning applications.


Desirable qualifications

Students wishing to select one of the above advisors will benefit from having certain desirable qualifications towards fulfilling the research work.
 

Praveen Chandrashekar

  • Course work during bachelor/master in fluid mechanics, gas dynamics, thermodynamics, numerical methods for ODE and PDE
  • Good knowledge of at least one programming language among Fortran/C/C++/Python
  • Experience in parallel programming concepts like MPI
  • Semester long project involving computational work solving PDE models from fluid dynamics, etc. (Compulsory requirement)
     

Jim Thomas

  • Courses taken during bachelors/masters degree in fluids or geophysical fluid dynamics, atmosphere-ocean sciences, numerical methods/scientific computing.
  • Working knowledge in at least one programming language among Fortran/C/C++/Python/Julia and some exposure to high performance computing on clusters
  • Experience working on a semester-long or year-long research project as part of thesis work or otherwise.